Data Analyst

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Iris dengan posisi Data Analyst. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Iris melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Data Analyst di Jakarta yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Iris. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Data Analyst di Jakarta Perusahaan Iris:

Requirements :
– Minimum 1 year of relevant work experience
– Proficient in at least one programming language for data processing, such as Python or R, and SQL scripting.
– Experience working with large-scale datasets for exploratory and advanced data analysis, ensuring data integrity and identifying optimization opportunities is a plus.
– Experience in business analytics, data mining, data modeling, and data visualization to support data-driven decision-making is an advantage.
– Strong communication skills, with the ability to manage tasks or projects and collaborate comfortably with multiple teams.
-Provide excellent service towards users, in relation to database authorization, change and withdrawal (web & workgroup)
– Willing to explore and apply modeling techniques, including forecasting models, trend analysis, and scenario simulations to enhance data-driven insights.
Job Description :
– Combining business analytics, data mining and data visualizations to help organizations making more data-driven decisions
– Interprets data, patterns, trends and turns it into actionable insights as ways to improve business
– Provide routine and ad hoc reports, ensuring insights are not just descriptive but also predictive and prescriptive where applicable.
– Translate routine data inquiries into automated, efficient reporting solutions to support operations and streamline decision-making.
– Utilize modelling techniques to build forecasting models, trend analyses, and scenario simulations, enhancing the depth of data-driven insights.
– Work with large-scale datasets to conduct exploratory and advanced data analysis, ensuring data integrity and uncovering new opportunities for optimization.